Results 161 to 170 of about 2,902,487 (326)

Comparison of Anatomical and Non‐Anatomical Resection in Low Microvascular Invasion Risk Solitary Hepatocellular Carcinoma ≤ 5 cm

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
We evaluated whether anatomical resection (AR) provides an oncological benefit over non‐anatomical resection (NAR) in solitary hepatocellular carcinoma ≤ 5 cm without predicted microvascular invasion or intrahepatic metastasis, identified by preoperative DCP ≤ 150 mAU/mL.
Norifumi Iseda   +6 more
wiley   +1 more source

Multifactor Risk Stratification for Post‐Transplant Alcohol Relapse Using Abstinence, Psychosocial, and Socioeconomic Factors

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Alcohol relapse after liver transplantation is difficult to predict using abstinence duration alone. We developed a multifactor model integrating abstinence duration, psychosocial risk (SIPAT), and socioeconomic context (AUC 0.70). This approach may support individualized risk assessment and tailored follow‐up intensity; external validation is needed ...
Ayato Obana   +9 more
wiley   +1 more source

INPRESS: INvasive PRESSure Monitoring Knowledge and Practice Survey. [PDF]

open access: yesNurs Crit Care
Coolens O   +4 more
europepmc   +1 more source

Surgical Outcomes of Sequential Robot‐Assisted Hepatobiliary–Pancreatic Surgery in a Single Operating Room: A Single‐Center Retrospective Analysis of a High‐Volume Center in Japan (TAKUMI‐6)

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
This study investigated the surgical outcomes of sequential robot‐assisted hepatobiliary–pancreatic (HBP) in a single operating room. The outcomes and operating room timelines were comparable between the first and second cases. The median turnover time was 49 min, and the day‐shift completion success rate was 34.4%.
Tomokazu Fuji   +7 more
wiley   +1 more source

Paclitaxel-Coated Balloon for Treating In-Stent Restenosis in Racial and Ethnic Minority Patients: A Subanalysis From the AGENT IDE Trial. [PDF]

open access: yesJ Am Heart Assoc
Jamil Y   +18 more
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

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